Theoretical investigation of the Rayleigh-Taylor instability in laser-produced plasmas driving into background gases
Bibliographic record
Abstract
Aluminum plasmas produced at moderate laser fluences in atmospheres of helium (a light gas) and argon (a heavy gas) are simulated by using a one-dimensional Lagrangian fluid code. The resulting data are used as input for Dimonte’s buoyancy-drag model for Rayleigh-Taylor instability development. The ablated matter and the shock wave generated in the gas are treated consistently by solving the fluid equations in both media. In helium, the Rayleigh-Taylor instability develops during the interface deceleration stage and grows for a considerable time. For the heavy argon gas, the instability operates only during the much shorter acceleration stage and is probably masked by interdiffusion. For the same laser fluence, the mixing width in helium is predicted to grow faster for ultrashort pulses than for nanosecond pulses. The relative size of the mixing width compared to the plume length is more significant at higher gas pressure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".